AI work that
actually ships.
Live demos
Built and shipped by one person. Click any card to open the live system. Then we scope on your data — not a strategy deck first.
AI-driven finance dashboard
What it proves
AI can operate a live business application — not just answer questions beside it.
AI chat that reaches into Xero and rebuilds the dashboard in real time. Say "show me overdue invoices" and the AI applies filters, changes views, and regenerates the entire screen — you talk to the app instead of learning the UI.
Problems this can help you solve
- Get faster answers on cash, AR/AP, and overdue balances without waiting on another BI or dashboard build
- Show stakeholders AI that actually drives the real system, not a chat panel bolted on the side
- Run a credible paid pilot on live finance data before committing to a larger programme
Where it fits best
- SMEs on Xero (or similar) with finance-heavy operations
- Professional services with invoicing pain; teams that have outgrown spreadsheet reporting
AI document studio (MD → PDF → sign)
What it proves
End-to-end document workflow — draft, brand, PDF, sign — in one place instead of four separate tools.
Write in markdown, get AI assistance with drafting and editing, generate branded PDFs, and sign documents — all in one tab. Full proposal-to-signature lifecycle without switching tools.
Problems this can help you solve
- Stop losing time bouncing proposals between Word, email, and a separate e-sign tool
- Use repeatable templates with light AI assistance and outputs you can confidently share and audit
- Move from first draft to signed document without leaving one browser tab
Where it fits best
- Agencies, consultancies, and SMBs with high proposal or contract volume
- Teams that need fast, lightweight signing without rolling out a full CLM system
Automated market intelligence
What it proves
Continuous market scanning and enrichment so you can see who is hiring, for what roles, and how the landscape is moving — updated daily.
AI continuously scans, enriches, and deep-researches the NZ job market — 2,000+ listings across 80+ queries with AI-scored relevance, company profiles, and competitive signals, updated daily.
Problems this can help you solve
- Build a high-quality target list tied to real hiring signals and the roles you care about
- Track how your competitors are hiring without manual job-board trawling
- Give sales and strategy one shared, defensible view of the market
Where it fits best
- B2B services firms selling into NZ hiring and workforce movement
- Teams that want market intelligence to feed outbound and planning — not one-off spreadsheets
AI media bias monitoring
What it proves
Structured analysis of how outlets frame issues — identify blind spots, missing voices, and framing patterns across sources.
Profiles media outlets by worldview, maps framing patterns and missing voices, and surfaces blind spots in coverage.
Problems this can help you solve
- Compare how different outlets frame the same issues and spot blind spots in coverage
- Benchmark narrative patterns across topics for research, policy, or risk work
Where it fits best
- Publishers, NGOs, think tanks, corporate comms, and investor relations teams
- Organisations that need to demonstrate serious information-quality discipline
Chat with your data (AI analytics)
What it proves
Business users get answers from their own data without waiting on a dashboard backlog.
Ask plain-English questions about a business dataset and get instant answers with SQL, data grids, and narrative analysis. Zero dashboards to build, zero SQL to write.
Problems this can help you solve
- Replace ad-hoc Excel pivots with governed natural-language Q&A
- Pilot analytics before committing to a larger warehouse or enterprise BI programme
- Answer recurring operational questions (inventory, margin, fleet, utilisation) without a ticket queue
Where it fits best
- Mid-market businesses with siloed spreadsheets and a small BI or data team
- Operations-heavy verticals where the same questions are asked every week
AI-driven game engine demo
What it proves
AI controls the entire game world — state, narrative, outcomes — not just generating text on top of a fixed engine.
Built for my 10-year-old cousin: AI drives the game state and dynamically updates the world each time a button is pressed. A playable concept demo showing AI as the engine, not just a feature.
Problems this can help you solve
- See where interactive products could go when AI owns the logic, not just the content
- Explore what "AI as the engine" means in a hands-on, playable format
Where it fits best
- Technical teams curious about AI-driven product design
- Anyone interested in where interactive experiences are heading
AI synthetic data generator
What it proves
Realistic synthetic data from a natural-language description — safe for demos, testing, and prototyping without real PII.
Describe what you need in natural language, set preferences and biases, and the AI generates structured synthetic data in any shape. Useful for demos, testing, and rapid prototyping without real data.
Problems this can help you solve
- Generate plausible datasets for demos and sales cycles when production access is blocked or slow
- Support QA, load testing, and workshop sandboxes without using real customer data
Where it fits best
- Regulated industries and teams gated on data access
- Product and engineering teams that need realistic test data in hours, not weeks
NZ AI market dashboard
What it proves
A live, evidence-backed view of the NZ AI and hiring landscape — useful for planning, benchmarking, and conversations with leadership.
NZ labour-market and AI landscape snapshot — a data-backed view of who is hiring, what roles are moving, and where AI demand is growing.
Problems this can help you solve
- Share a data-backed market view with leadership when planning hiring or AI investment
- Benchmark NZ AI demand and role trends without building your own research
Where it fits best
- People teams, training providers, and talent leaders
Vibe groceries (AI grocery shopper)
What it proves
AI-led cart and recommendations on real inventory patterns — preference-led shopping, not only category browsing.
AI-powered grocery and personal shopper with recommendation engine and cart flow built on real inventory patterns.
Problems this can help you solve
- Evaluate AI-led shopping flows for online grocery or e-commerce
- Test how recommendations and cart changes affect engagement and conversion
Where it fits best
- Retailers with online grocery, marketplaces, and brands testing AI-first shopping experiences
Talent AI / CV demo
What it proves
CV → personas → drafts in one flow — fast, approachable AI on personal documents.
Upload your CV, generate career personas, and get rewritten CV and cover letter drafts — free, built for NZ and AU job markets.
Problems this can help you solve
- Help employees or candidates refresh CVs and cover letters in one sitting
- Give HR or hiring managers a tangible example of AI on real documents
Where it fits best
- Job seekers, recruiters, RTOs, and HR teams
The Reality
Most businesses are 6–24 months behind on AI.
They tried ChatGPT, maybe Copilot, and nothing changed. Meanwhile, competitors are shipping AI features, and leadership is not always sure what is real.
Here is the truth: the tools exist to multiply productivity. The gap is knowing which tools to use, where to apply them, and how to implement without creating new risk.
That is what I do. I close the gap.
What You Get
The call is free. Here is what happens after.
Prototype
- ✓Working prototype on your actual business data
- ✓Client provides data as exports — no live system access required
- ✓Proves AI solves your specific problem before any larger commitment
- ✓Every engagement opens with a live AI demo in Meeting 1
- ✓10 hrs @ $250/hr — scope confirmed up front
Integration / Build
- ✓AI built into your existing systems — real APIs, live databases
- ✓Each capability is a separate product (repeatable)
- ✓Alpha → Beta → Production delivery phases
- ✓Team training and handover included
- ✓Eligible for up to 50% government co-funding (MBIE AI Advisory Pilot)
Ongoing Support
- ✓Post-build backend support and maintenance
- ✓6 hrs/month @ $250/hr
- ✓Available after Stage 2 build close
- ✓Keeps production integrations healthy
- ✓Discussed and confirmed at build handover
How It Works
Free Call
30 minutes. We figure out if I can help. No pitch, no pressure.
Scope
I look at your situation and tell you exactly what I would do and what it costs.
Build
I implement. You watch. Your team learns. Everything gets handed over.
Done
You are capable. You continue independently. I am available if you need me.
The Difference
Traditional Agencies
- 6-month timelines
- Massive teams, massive overhead
- Black box methods
- Creates dependency
- $100K+ budgets
Working With Me
- 2-4 week delivery
- One person, zero overhead
- Full transparency - I teach your team the tools
- Makes you capable
- From $2,500 — From $15,000+ depending on scope
“I make you capable, not dependent. You get to look behind the curtain. I teach your team the tools. Full transparency.”
Good Fit?
Yes
- ✓You need real AI implementation, not another strategy deck.
- ✓You can make decisions and move fast when you see value.
- ✓You want to in-house and learn how to think about AI, not just outsource.
- ✓You value speed over "process."
- ✓You want rapid pathfinding and low-risk prototyping.
Not Right Now
- —You need a big agency with a big team for optics.
- —You demand a guarantee of success before trying anything.
- —You require perfect correctness from currently imperfect AI.
- —You want to design by committee.
Let's Talk
Drop your details. I'll reach out within 24 hours. If I cannot help, I will point you in the right direction anyway.
Get in Touch